Data Analytics Training Program using

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1 Data Analytics Training Program using In exclusive association with Trainings 20,000+ Participants 10,000+ Brands 45+ Countries [Since 2009] Training partner for

2 Who Is This Course For? Programers Willing to learn Python as 1st Language Non-Programers Experienced in any Programming Language Course Highlights Govt. of India (Vskills Certified Course) 3 hrs/week Live Instructor-Led Online Sessions Lifetime Access To Updated Content and Videos IIT & IIM Faculty 15 days of Project Work Placement Support Personalised Training Program 24X7 Support On Discussion Forum Weekly Assignments Top Data Analytics Tools covered Specialize in R, SAS & Python Industry s Top Data Analytics Advisors Course Advisors Vishal Mishra CEO & Co-Founder Vishal is a Technology influencer and CEO of Right Relevance. (A platform used by millions for content & influencer discovery) Manas Garg heads the Analytics for Marketing at Paypal. He takes Data Driven Decisions for Marketing Sucess. Manas Garg Architect

Course Instructor Ajay Ohri has a MBA from Indian Institute of Management Lucknow. In addition he did graduate courses at University of Tennessee, Knoxville.

His strengths are data & business analysis.

Lynn has over 25 years of experience in data analysis and problem-solving, including more than ten years at General Electric s Global Research Center, where, among many other projects, she did

3 Course Instructor Ajay Ohri has a MBA from Indian Institute of Management Lucknow. In addition he did graduate courses at University of Tennessee, Knoxville. He has written multiple books, Articles & Journals on R for Business Analytics, Python, Approach to Data Science etc. Rushabh Shah is the Founder & CEO of DLTC.co and Blogger at ExcelRush.com. His strengths are data & business analysis. To share his knowledge and experience of working with various businesses areas, he has trained working professionals and students inexcel Advanced & others. Lynn has over 25 years of experience in data analysis and problem-solving, including more than ten years at General Electric s Global Research Center, where, among many other projects, she did extensive work in anomaly detection, using large sets of time series data and others. Course Curriculum A streamlined range of courses with hands-on-experience to help you learn and implement data analytics for career or business growth. Course: Introduction to Data Analytics What is Data Science? Introduction to Data Science Introduction to Cloud Computing Introduction to Data Driven Decision Making Business Strategy Models Introduction to git and github Tools and Techniques in Data Science Introduction to Tools and Technqiues in Data Science Lifetime Value Analysis RFM Analysis Course: Introduction to R R Base Software, CRAN, Packages Interfaces to R, GUIs RStudio The IDE Basics in R Vectors in R Date and Time Values Handling Missing Values in R Matrices and Data Frames in R Looking at Data in R Course: Introduction to SAS SAS History and Overview SAS University Edition Software Interfaces to SAS Data Input in SAS Keep and Drop Variables Basics in SAS - Data Step and Libname Basics in SAS - Procs

Course: Introduction to Python Part 1: Part 2: Data Structures Scientific Packages of Python Introduction to Jupyter Other Python Interfaces Data Structures Strings Datetime Numeric Lists Tuple Dicts

Packages SQL Orientation Introduction to Structured Query Language Introduction to RDBMS CAP Theorem Introduction to Queries Create,Insert and Select Queries Update and Delete Queries Using SQL with

4 Course: Introduction to Python Part 1: Part 2: Data Structures Scientific Packages of Python Introduction to Jupyter Other Python Interfaces Data Structures Strings Datetime Numeric Lists Tuple Dicts Loops Functions Classes Course: Introduction to SQL Using functions from Packages in Python Math Package DatetimePackage OS Package SciPy Package NumPy Arrays Slicing Arrays Stacking Arrays Other Packages SQL Orientation Introduction to Structured Query Language Introduction to RDBMS CAP Theorem Introduction to Queries Create,Insert and Select Queries Update and Delete Queries Using SQL with a RDBMS SQL Joins Sub-Queries Case Operator Using SQL with R Using SQL with Other Platforms (HIVE, Python) Course: Data Analytics using Excel & Power BI Introduction to Excel Introduction Useful Functions Sorting & Filtering Duplicates Working with Text Working with Conditions Date Functions Power BI - Introduction Calculated Columns & Measures Excel Tables Dashboard Power BI Components Power BI Service Introduction Publishing Power BI and Excel Import from data other Services Dashboards Advanced Excel Fetching & Comparing Data Sets Named Range What-if-Analysis Solver Plug-in Pivot Tables Charts Power BI Desktop Importing Data Clean & Transform Data Modeling DAX Functions Visualizations Power BI Mobile Mobile Application Course: Data Analytics using Python Introduction to Pandas Introduction to Pandas Data Import Data Inspection Data Quality Data Manipulation Using Pandas for Data Analysis Data Manipulation Data Querying Data Summarizing Data Exploration Data Merging

5 Course: Data Visualization using Python Data Visualization using Python Concepts in Data Viz Grammar of graphics Tufte and Data Viz Seaborn and Matplotlib Course: Machine Learning using Python Using scikit-learn for supervised learning Using scikit-learn for unsupervised learning Parameter tuning Diagnostics Overfitting Plotting Data Preprocessing Course: Advanced Data Analytics Techniques using Python Time Series Analysis Text Mining Sentiment Analysis Social Network Analysis Deep Learning Neural Networks Course: Statistics for Data Analysts Basic Statistics Course Curriculum Central Tendency Dispersion Central Limit Theorem Normalization Advanced Statistics Distributions Probability Bayes Theorem Hypothesis Testing Course: Data Analytics using R Introduction to R R Base Software, CRAN, Packages Interfaces to R, GUIs RStudio The IDE Basics in R Exploratory Data Analysis Five Numbers Boxplot Hmisc Package Course: Data Visualisation using R Vectors in R Date and Time Values Handling Missing Values in R Matrices and Data Frames in R Looking at Data in R Data Manipulation Logical Statements in R Conditional selection using "and", "or" and "ifelse" operator Using apply, sapply, lapply in R Data Manipulation using Data.Table and Dplyr Using sqldf package Concepts in Data Visualization Historical Graphs Tufte, Few, Maeda, Grammar of Graphics Basic and Advanced Plots. GGPLOT Interactive Plots Multiple Graphs, Title, Axes, Labels, Color Palletes, vcd, Tableplot, Googlecharts, Shiny, Rcharts, D3.js

6 Course: Machine Learning using R Machine Learning using R ( Part 1) Machine Learning using R ( Part 2) Covariance and Correlation Regression Analysis Multicollinearity and Hetroscedasticity in Model Outliers and VIF Logistic Regression Modelling Understanding the ROC Curve Understanding the Confusion Matrix KMeans Clustering Decision Trees Association Analysis Types of Problems and Tasks What is Machine Learning? Features, Models and Design of ML Study -Other Data Mining Methods Parameter Tuning Course: Advanced Data Analytics techniques using R ( Part 1) ( Part 2) Time Series Analysis Text Mining Sentiment Analysis Course: Data Visualization using Tableau Social Network Analysis Deep Learning Neural Networks Data Visualization using Tableau Chart choosing Measures Dimensions Functions Projects Participants will have an option to do 1 or more of the following 3 projects: Project 1: Data Manipulation Project (5 days) Slice and Dice the dataset related to Credit Card Fraud to extract valuable insights Project 2: Data Visualization Project (5 Days) Use Tableau to generate reports for a given dataset Project 3: Data Mining Project (5 Days) Use Data Mining technique to do Predictive Analytics on a Mortgage dataset

7 Tools Duration 30 Weeks Fee Rs. 54,900+ST Interested? Contact Us! Attend a Free Orientation Session:

SAS. Data Analyst Training Program. [Since 2009] 21,347+ Participants 10,000+ Brands Trainings 45+ Countries. In exclusive association with

SAS. Data Analyst Training Program. [Since 2009] 21,347+ Participants 10,000+ Brands Trainings 45+ Countries. In exclusive association with SAS Data Analyst Training Program In exclusive association with 21,347+ Participants 10,000+ Brands 1200+ Trainings 45+ Countries [Since 2009] Training partner for Who Is This Course For? Programmers Non-Programmers